Remote Data Analytics Engineer (Remote - Canada)

Description:

• The position is for a Data Analytics Engineer at Dotmatics, located in Canada, and is remote-friendly.
• The role involves delivering actionable insights that enhance business operations and empower cross-functional teams with reliable data.
• Responsibilities include building and maintaining scalable reports and dashboards, collaborating with various departments to identify KPIs, and conducting ad hoc analyses to address urgent business questions.
• The engineer will support data self-service efforts and contribute to improving data quality and documentation through standardization and best practices.
• The position requires 2–5 years of experience in analytics engineering, data engineering, or related analytical roles, along with a Bachelor's degree in a quantitative or technical field or equivalent experience.
• Advanced SQL skills are necessary, along with the ability to collaborate with business stakeholders and maintain data documentation.

Requirements:

• Candidates must have 2–5 years of experience in analytics engineering, data engineering, or related analytical roles.
• A Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Math, Economics) or equivalent experience is required.
• Advanced SQL skills with strong knowledge of window functions, CTEs, and query optimization are essential.
• Proven ability to collaborate with business stakeholders to define requirements and translate them into analytical outputs is necessary.
• Experience maintaining data documentation, such as data dictionaries and dbt Docs, is required.
• A strong analytical mindset with a curious, self-driven attitude and attention to detail is essential.

Benefits:

• The position offers a remote-friendly culture with a collaborative global team.
• Employees will engage in meaningful work that contributes to scientific progress and innovation.
• A competitive compensation and benefits package is provided.
• Opportunities for continuous learning and professional development are available.
• The company promotes an inclusive environment that encourages diversity, openness, and integrity.
• Employees will be part of the world’s largest cloud-based scientific R&D platform.